Merced, CA, United States of America

Yijun Li

This inventor holds 36 USPTO granted patents and 15 published patent applications, primarily in Generative Image Modeling. Top assignees: Adobe, Inc., Nvidia Corporation. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yijun Li. Retrieved from https://idiyas.com/inventor/yijun-li-lmaoteeu

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 36 

% Patents Active = 100.0

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 58(Granted Patents)


Location History:

  • Merced, CA (US) (2019 - 2020)
  • San Jose, CA (US) (2020 - 2022)
  • Seattle, WA (US) (2022 - 2024)

Company Filing History:


Years Active: 2019-2026

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Areas of Expertise:
Image Generation
Style Transfer
Inpainting
Neural Networks
Machine Learning
Digital Images
Avatar Generation
Image Editing
Generative Models
Deep Learning
Contrastive Learning
Synthesis Techniques
36 patents (USPTO):Explore Patents

Title: Innovations in Image Processing by Yijun Li

Introduction

Yijun Li, based in Merced, California, is an influential figure in the realm of image processing and artificial intelligence, holding a remarkable 21 patents. Through his innovative work, he has significantly contributed to the development of advanced image inpainting systems, emphasizing the integration of generative machine learning models to enhance digital image alteration.

Latest Patents

Among Yijun Li's latest patents are groundbreaking technologies. One notable patent is for "Diverse image inpainting using contrastive learning." This system addresses the challenge of filling in masked regions of images by employing a generative adversarial network (GAN) trained with contrastive losses. The system generates diverse synthesized images using distinct combinations of codes that represent the known and unknown visual appearances of objects.

Another significant patent concerns "Generating a modified digital image utilizing a human inpainting model." This invention outlines a framework that employs AI for scene-based editing of digital images, particularly those featuring human subjects. The systems outlined in this patent enhance image quality through infill modifications, reposing of subjects, and even facial expression transfer, showcasing the potential of AI in creative digital image manipulation.

Career Highlights

Yijun Li has had an impressive career, working with leading technology companies such as Adobe, Inc. and Nvidia Corporation. His experiences at these firms have not only refined his technical skills but also positioned him as a key contributor to cutting-edge image processing technologies. His role in these organizations underscores his importance in advancing the field of artificial intelligence and digital imaging.

Collaborations

Collaboration plays a crucial role in Yijun Li's work. He has closely worked with talented colleagues, including Jingwan Lu and Elya Shechtman. These partnerships have allowed him to leverage collective expertise and drive innovation in machine learning applications related to image processing.

Conclusion

Yijun Li's contributions to the field of image processing exemplify the transformative power of innovations in technology. With a portfolio that includes 21 patents, his work continues to push the boundaries of what is possible with digital images and artificial intelligence. As technology evolves, the impact of Li's inventions will undoubtedly resonate across industries, setting new standards for creativity and efficiency in image manipulation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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